“The AI’s struggles to answer, while imperfect, are perceived as endearing, creating a feeling of wanting to help it.”

“The article uses the term 'people weak at verbalization' not as a put-down, but as a label for those who find it challenging to articulate thoughts and intentions clearly from the start.”

“I clearly explained that I only purchased ChatGPT Plus, never authorized ChatGPT Pro...”

“A broader and more nuanced conversation can help us capitalize on benefits while minimizing risks.”

“Musk's legal team argues he should be compensated as an early startup investor who sees returns 'many orders of magnitude greater' than his initial investment.”

“This article explores the interesting aspects of how AI models, like Gemini, handle the provision of verifiable information.”

“The routine emphasizes turning 'minimum output' into 'stock' – a brilliant strategy for building a valuable knowledge base.”

“Humans will eventually discover that reality responds more to alignment than to force—and that we’ve been trying to push doors that only open when we stand right, not when we shove harder.”

“I’m especially looking for guidance on how to read papers effectively, how to identify which papers are important, and how researchers usually move from understanding prior work to defining their own contribution.”

“AI's impact on existing business processes is becoming more certain every day.”

“The most straightforward option for running LLMs is to use APIs from companies like OpenAI, Google, and Anthropic.”

“The article explains the paper's core concept: understanding forgetting as a decrease in accessibility, and its application in LLM-based access control.”

“The author notes that evaluations of tools and LLMs often differ significantly between users, emphasizing the influence of individual prompting styles, technical expertise, and project scope.”

“The post discusses a prompt design approach that works backward from the finished product.”

“A new deal between Apple and Google makes Gemini the cloud-based technology driving Apple Intelligence and Siri.”

“The article's content indicates struggles with design data interpretation from Figma to implementation.”

“This follows an investigation by the Guardian that found Google AI Overviews offering misleading information in response to some health-related queries.”

“The article suggests that developers should be strategic in selecting the correct AI tool for specific tasks, avoiding the pitfalls of single-tool dependency and leading to improved code accuracy.”

“Meaning isn't the point, just write! Those who understand will know it's human-written by the style, even in 2026. Thought is formed with 'language.' Don't give up! And I want to read writing created by others!”

“Responsible AI: An approach that emphasizes fairness, transparency, and ethical use of AI technologies.”

“なぜ GitHub だけに依存しない構成を選んだのか どこを一次情報（正）として扱うことにしたのか その判断を、どう構造で支えることにしたのか”

“「仕様書なんて要らないのでは?」と考えるエンジニアも多いことでしょう。”

“”

“How I learned to stop worrying and love AI slop”

“SFT: Phase for teaching 'etiquette (format/inference rules)'; RL: Phase for teaching 'preferences (good/bad/safety)'”

“AI is not a "code writing entity" but a "design assistance layer".”

“私はプログラマーではありません。長靴で現場を歩き、デスクでは取得したデータをもとに図面を作る、いわゆる 現場寄りの技術者 です。”

“"Vibe駆動開発はクソである。"”

“「AIが動画を生成してくれるなんて...”

“適切に設定しないとMCPを1個追加するたびに、チーム全員のリクエストコストが上がり、ツール定義の読み込みだけで数万トークンに達することも。”

“投資ポートフォリオ最適化は、金融工学の中でも非常にチャレンジングかつ実務的なテーマです。”

“本記事では、私がこの手法を実際に試した経験をもとに、理論背景から具体的な解析手順、苦労した点や得られた教訓までを詳しく解説します。”

“Be innovative, forward-thinking, and think outside the box. Act as a collaborative thinking partner, not a generic digital assistant.”

“Gemini API のマルチモーダル機能を使った実装で、parts配列の構造について複数箇所でハマりました。”

“Prompt caching is an optimization […]”

“「It's fun to write and record rap, but honestly, it's hard to come up with punchlines from scratch every time.」”

“世の中の「AI セキュリティガイドライン」の多くは、自社開発企業や、単一の組織内での運用を前提としています。(Most "AI security guidelines" in the world are based on the premise of in-house development companies or operation within a single organization.)”

“Currently, I'm reading a Deep Learning by Ian Goodfellow et. al but the book focuses more on theory.. any suggestions for books that focuses more on implementation like having code examples except d2l.ai?”

“I just launched Paper Breakdown, a platform that makes it easy to stay updated with CS/ML/AI research and helps you study any paper using LLMs.”

“It did exactly what it was designed to do.”

“The context comes from the r/OpenAI subreddit.”

““Plano-Orchestrator decides which agent(s) should handle the request and in what sequence. In other words, it acts as the supervisor agent in a multi-agent system.””

“汎用化は想像以上に難しい と感じました。”

“ChatGPT is very good at analyzing what you say and helping you think like a co-brain. ... It's helped me figure out a few things about myself and form structured thoughts about quite a bit of topics. It's quite useful tbh.”

“ChatGPT 5 is a bullshit explosion machine.”

“The author's experience with Gemini and co-programming in Firebase Studio (IDX) led to the realization of a paradigm shift.”

“The article highlights the model's ability to sample a move distribution instead of crunching Stockfish lines, and its 'Stockfish-trained' nature, meaning it imitates Stockfish's choices without using the engine itself. It also mentions temperature sweet-spots for different model styles.”

“The article references a viral tweet from Muratcan Koylan, an AI agent systems manager, and his work on prompt design and the Agent Skills for Context Engineering repository.”

“The author mentions using ChatGPT, Claude, and Cursor extensively in personal mobile app development.”

“The article discusses the COMPAS case and its implications for AI ethics, particularly focusing on the challenges of social implementation.”